A strategy for the automatic diagnostic pipeline towards feature-based models: a primer with pleural invasion prediction from preoperative PET/CT images.

Journal: EJNMMI research
Published Date:

Abstract

BACKGROUND: This study aims to explore the feasibility to automate the application process of nomograms in clinical medicine, demonstrated through the task of preoperative pleural invasion prediction in non-small cell lung cancer patients using PET/CT imaging.

Authors

  • Xiangxing Kong
    Department of Surgical Oncology, The Second Affiliated Hospital of Zhejiang University Medical School, Hangzhou, China.
  • Annan Zhang
    Department of Nuclear Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191 Beijing, China.
  • Xin Zhou
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.
  • Meixin Zhao
    Department of Nuclear Medicine, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191 Beijing, China.
  • Jiayue Liu
    Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Key Laboratory of Research, Investigation and Evaluation of Radiopharmaceuticals, NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital and Institute, No. 52 Fucheng Rd., Haidian District, Beijing, 100142, China.
  • Xinliang Zhang
    Institution of Medical Technology, Peking University Health Science Center, Beijing, 100191, China.
  • Weifang Zhang
    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, Zhejiang, China; Social Medicine and Health Affairs Administration, Zhejiang University, Hangzhou, Zhejiang, China. Electronic address: chzwf@zju.edu.cn.
  • Xiangxi Meng
    Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
  • Nan Li
    School of Basic Medical Sciences, Jiamusi University No. 258, Xuefu Street, Xiangyang District, Jiamusi 154007, Heilongjiang, China.
  • Zhi Yang
    Field Scientific Observation and Research Station of Agricultural Irrigation in Ningxia Diversion Yellow Irrigation District, Ministry of Water Resources, Yinchuan, China.

Keywords

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